Yang, Qiang

A sustainable incentive scheme for federated learning

Yu, H., Liu, Z., Liu, Y., Chen, T., Cong, M., Weng, X., Niyato, D., & Yang, Q. (2020) · IEEE Intelligent Systems

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 123

A Survey of Transfer and Multitask Learning in Bioinformatics

Xu, Q., & Yang, Q. (2011) · Journal of Computing Science and Engineering

Domain Adaptation and Few-Shot LearningMachine Learning in Bioinformatics

Cited by 89

A survey for federated learning evaluations: Goals and measures

Chai, D., Wang, L., Yang, L., Zhang, J., Chen, K., & Yang, Q. (2024) · IEEE Transactions on Knowledge and Data Engineering

Privacy-Preserving Technologies in DataMachine Learning and Data Classification

Cited by 64

Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Li, C., Wang, J., Zhang, Y., Zhu, K., Hou, W., Lian, J., Luo, F., Yang, Q., & Xie, X. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 59

A Generic Federated Recommendation Framework via Fake Marks and Secret Sharing

Lin, Z., Pan, W., Yang, Q., & Ming, Z. (2023) · ACM Transactions on Information Systems

Privacy-Preserving Technologies in DataRecommender Systems and Techniques

Cited by 44

Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning

Zhang, Y., Song, Y., Liang, J., Bai, K., & Yang, Q. (2020) · Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Adversarial Robustness in Machine LearningDomain Adaptation and Few-Shot Learning

Cited by 29

A traffic anomaly detection approach based on unsupervised learning for industrial cyber–physical system

Yang, T., Jiang, Z., Liu, P., Yang, Q., & Wang, W. (2023) · Knowledge-Based Systems

Network Security and Intrusion DetectionInternet Traffic Analysis and Secure E-voting

Cited by 21

Efficient Federated Matrix Factorization Against Inference Attacks

Chai, D., Wang, L., Chen, K., & Yang, Q. (2022) · ACM Transactions on Intelligent Systems and Technology

Privacy-Preserving Technologies in DataRecommender Systems and Techniques

Cited by 20

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Liu, B., Li, X., Zhang, J., Wang, J., He, T., Hong, S., Liu, H., Zhang, S., Song, K., Zhu, K., et al. (2025) · arXiv

Psychiatry, Mental Health, NeuroscienceArtificial Intelligence Applications

Cited by 16